Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization | Route /signal-canvas/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimizationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization",
"query_text": "Summarize ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization",
"normalized_query": "2605.14497",
"route": "/signal-canvas/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization",
"paper_ref": "road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
PDF: https://arxiv.org/pdf/2605.14497v1
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-05-15T20:12:01.098Z
Signal Canvas receipt window
/buildability/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization
Subject: ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization
Paper ref
road-adaptive-data-mixing-for-offline-to-online-reinforcement-learning-via-bi-level-optimization
arXiv id
2605.14497
Generated at
2026-05-15T20:12:01.098Z
Evidence freshness
fresh
Last verification
2026-05-15T20:12:01.098Z
Sources
0
References
0
Coverage
0%
Lineage hash
6afb0486e5054cc7e6aa278833f81646f03cef4fec390daef173841c2d1c6551
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Verification pending / evidence receipt incomplete
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paper_evidence_receipts.coverage